Any OTers working in Data Analytics?

I am not in it, but my company is. Why are you interested in it if you don’t mind my asking?

pick a programming language and run with it. typically python or c++.

focus on logic of the language then you can pretty much do anything.

you can get a job in data analytics. just need to be able to showcase your talents.

once you learn you can freelance to get some experience and products created.

ETA: once you pick up data processing, etc.

then start figuring out machine learning algorithms. That's when the fun stats come in.

I’ve always enjoyed number crunching/ running programs. Just seems to be a good fit from what I’ve read into anyway.

Id be doing a program in Kansas

I work in Business Intelligence for my company (support the BI platforms all our companies use). If you want to get into Data Analytics (and make good money) there are two paths you can take. Data Science or Data Engineering. Data science is front end data analysis (use the data available to build dashboards/reports for your consumers). A field that is growing and there is a big need for this. Data engineering is the back end side of data analytics: building data warehouses, data workflows, etc. to help get the data into the hands of the data scientists so-to-speak.

Really depends on what you would prefer, both career paths are pretty lucrative. Let me know if you have any other questions!

Georgia Tech also has a pretty good program as i’ve heard

Go to Lamar in Beaumont. 1 year or so and you're placed at a plant. Hard to beat for anyone, young or old.

I think it’s a good place to start in the IT field if you’re good at math. You’ll be using data and statistical modeling to identify trends, predict outcomes, evaluate performance, and design or optimize systems. You’ll be processing and extracting knowledge from data-based resources with Tableau or Power BI, the R programming language and SAS. It involves the use of techniques and tools to analyze data to derive trends, patterns, and insights. You’ll be collecting, analyzing and presenting information from data sources in a form that allows decision-makers to understand the context and meaning of the data.

Data analytics has become an important tool for businesses and organizations across the world. From data warehousing to predictive modeling, data analytics is used in many different ways to gain insights from large volumes of structured and unstructured data.

The tools you’ll be using are designed for the purpose of extracting knowledge from various sources such as structured and unstructured databases, documents or spreadsheets. These tools can be used in a variety of ways such as predictive modeling, decision support systems, and BI systems.

Data analytics are an integral part of every business and are often used to aggregate data for many purposes. They can range from traditional statistics to complex machine learning algorithms or artificial intelligence tools. Thus, if you’re up to it and can learn Python and SQL and become proficient in both at the professional level it would open up opportunities to become a machine learning engineer and the salary is huge.

Yes, I do